At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
About us
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
As the Data Platform Lead for the Wayve Portal, you will be responsible for shaping and scaling the core data platform that underpins our SaaS product for autonomous vehicle partners.
The Portal enables our customers to access releases, performance monitoring, and insights powered by complex data flows. Your leadership will ensure the platform reliably ingests and standardises autonomous driving data — from customer fleets, simulations, and third-party partners — before distributing it both to Portal services and to Core Engineering pipelines for downstream model development.
Equally, you will ensure the Portal can integrate validation data and performance insights from Core Engineering back into the customer experience, enabling dashboards, analytics, and continuous feedback loops that build trust and deliver measurable value to our partners.
This role is central to ensuring that the Portal delivers trustworthy, performant, and user-friendly data experiences for customers, while also enabling clean, consistent data handoff to internal ML engineering and research.
Key Responsibilities
- Define and execute the data platform architecture and roadmap for the Wayve Portal.
- Drive innovation in data pipelines and APIs to support dynamic use-cases such as performance dashboards, release analytics, and partner data exchange.
- Balance near-term MVP delivery with long-term scalability and resilience.
- Lead the design and implementation of data ingestion, transformation, and distribution pipelines powering the Portal.
- Build robust systems for normalising and unifying autonomous driving data — including fleet telemetry, simulation results, and partner datasets — into standardised formats.
- Ensure seamless, reliable handoff of curated data into Core Engineering systems for ML training, validation, and research.
- Enable feedback flows by integrating validation data and performance results from Core Engineering back into the Portal, powering dashboards, performance monitoring, and insights for customers.
- Develop extensible pipelines to support additional customer-facing insights, including trend analysis, release impact, and operational metrics.
- Enable self-serve data access for internal teams and customers, ensuring reliability and transparency.
- Establish and maintain data quality, observability, and monitoring standards across the platform.
- Partner with Core Engineering, ML, and robotics teams to align Portal data standardisation with internal model development needs.
- Collaborate with infrastructure and security teams to ensure robust identity, access management, and secure third-party data integrations.
- Work closely with product and design to ensure Portal data features deliver maximum customer value while meeting internal standards.
- Mentor and grow engineering talent, promoting technical excellence and strong delivery culture.
About you
In order to set you up for success as a Data Platform Lead at Wayve, we’re looking for the following skills and experience.
- 5+ years of experience in data platform or data engineering leadership roles, with proven delivery of scalable, production-grade systems.
- Strong track record in building and scaling data pipelines for complex, multi-source environments, including real-world telemetry and partner datasets.
- Expertise in data standardisation and schema design, enabling clean handoff of curated datasets into downstream ML and engineering pipelines.
- Hands-on experience with modern data orchestration and distributed processing frameworks (Airflow, Dagster, Flyte, Spark, Beam, etc.).
- Deep understanding of cloud-native architectures (Kubernetes, serverless, containerised data pipelines) and observability practices.
- Excellent cross-functional collaboration skills, with experience working across product, SaaS engineering, and ML/AI teams.
- Demonstrated technical leadership, with a track record of mentoring engineers and setting long-term data platform strategy.
- Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline.
- Experience with autonomous driving or robotics data (sensor, perception, fleet telemetry, or simulation).
- Proven success in designing customer-facing data features (dashboards, monitoring, APIs) in a SaaS context.
- Familiarity with data governance, compliance, and security frameworks (GDPR, ISO, TSAX), and building secure data exchange pipelines with partners.
- Hands-on experience integrating observability and monitoring solutions (Prometheus,Grafana, Datadog, etc.) for mission-critical data systems.
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
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